Python Programming Certification Course

ABOUT THE COURSE

4 Python Programming Certification Course

Passionate about Python programming? The Information Technology world is waiting for you. This wonderfully flexible, object-oriented language is best learnt when it is learnt with examples. Simpliv offers tons of examples to help you understand the concepts and learn how to implement them in real life to integrate systems. Our course offers you knowledge of how to put Python to the highest use it is capable of being put to: web development, GUI, software development, system admin, and what not. Ideal for anyone who wants to put Python to its optimal use..

Who is the target audience?

Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

 

Basic knowledge:

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help.

Curriculam

Python Basics

  • Introduction to Python
  • Core programming concepts
  • Objects in Python
  • Visualizations in Python
  • Packages in Python
  • Matrix operations
  • Dataframes

 

Price:  ₹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 25th Feb 2019 Days: Mon-Fri (10 Days) 07:00 PM – 10:00 PM (IST)

 

Contact Us:

Simpliv Services India Pvt Ltd

Email: support@simpliv.com

Phone: 7676008458

Email: sudheer@simpliv.com

Phone:  9538055093

To Enroll Click Here: https://www.simpliv.com/instructor-led-courses/python-programming-certification-course/?7-DEC-SEO

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Data Visualization with Tableau, R and Python course

ABOUT THE COURSE

2 Data Visualization with Tableau, R and Python.jpg

Data science doesn’t need to be the complex subject it is thought to be. Not with Simpliv, for sure. Understand when to use the right tools, how to connect to the right data source, how to connect Tableau Desktop with R to optimize the functions of R, packages, libraries and saved models. Also learn to use Python scripts for your fields in Tableau in the same way as you do with R. Ideal for becoming a complete data professional.

Who is the target audience?

All the professionals who are passionate about business intelligence, data visualization, and data analytics.

 

Basic knowledge:

There are no prerequisites for taking up this certification training course.

 

Curriculam

Visualization with Tableau

  • Tableau – An Introduction
  • Aggregation and Granularity
  • Action Filters and Action Highlights
  • Customer Segmentation Dashboard
  • Data Blending
  • Find top 10 Gems
  • Table Calculations (Explaining various Table calculations )
  • Difference between Table calculations and Calculated fields
  • LOD Functions
  • How to connect to databases (Video based)
  • How to integrate Tableau with R (Video based)
  • Dashboarding Techniques
  • Other Charts

 

Python and R basics

  • Tableau – An Introduction
  • Core programming concepts
  • Objects in Python
  • Visualizations in Python
  • Packages in Python
  • Packages in Python
  • Matrix Operations
  • Dataframes
  • Introduction to R
  • Objects in R
  • Core programming concepts
  • Visualizations in R (Packages in R)
  • Matrix Operations
  • Dataframes
  • Lists in R
  • Apply family functions in R
  • Projects and Tests

 

Price:  ₹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 21ST Jan 2019 Days: Mon-Fri (15 Days) 07:00 PM – 10:00 PM (IST)

 

Contact Us:

Simpliv Services India Pvt Ltd

Email: support@simpliv.com

Phone: 76760-08458

Email: sudheer@simpliv.com

Phone: 9538055093

 

To Enroll Click Here: https://www.simpliv.com/instructor-led-courses/data-visualization-with-tableau-r-and-python/?7-DEC-SEO

 

Machine Learning with Python course

ABOUT THE COURSE:

1 Machine Learning with Python.jpg

Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Simpliv. Gain expertise in core areas of Python and Machine Learning, such as algorithms, model evaluation, supervised vs. unsupervised learning, reinforcement learning, neural networks, k-nearest Neighbor Classifier, Naive Bayes Classifier, and lots more. Become a complete Machine Learning and Python pro. Our experts will show you how to use your knowledge of Python to learn to use it for Machine Learning. All you need is basic knowledge of Python. Our course will take it up from there and make you an expert.

Who is the target audience?

Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

 

Basic knowledge:

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

Curriculam

Python Introduction

  • Introduction to Python
  • Core programming concepts
  • Objects in Python
  • Visualizations in Python
  • Packages in Python
  • Matrix operations
  • Dataframes

 

Machine Learning

  • Data Pre-processing
  • Regression
  • Classification
  • Clustering
  • Association Rule
  • Natural Language Processing

 

Price:  ₹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 7th Jan 2019 Days: Mon-Fri (10 Days) 07:00 PM – 10:00 PM (IST)

Contact Us:

Simpliv Services India Pvt Ltd

Email: support@simpliv.com

Phone: 7676008458

Email: sudheer@simpliv.com

Phone:  9538055093

To Enroll Click Here: https://www.simpliv.com/instructor-led-courses/machine-learning-with-python/?7-DEC-SEO

 

Top 10 Programming Languages of 2018 You Should Know | Simpliv

The technology world is expanding immensely with each passing year and months, as they are coming up with new trendier smartphones and tablets every other day and the competition too has grown tough in the market to stand at the highest position. That’s the reason programmers and web developers are in tremendous demand nowadays because they have a good knowledge of programming languages. Various programming languages are now available and each of them has distinct functions.

When you are just beginning, you might not know about these languages, but you can certainly make some efforts to learn about them and do mastery on at least one or more languages; then you can certainly gain a high-paid job for yourself in the industry. We have mentioned here 10 excellent programming languages of 2018 which you should learn and have a better idea.

1. Java

Java is considered as the perfect language for the developers and programmers to learn. Currently, it is the top-most programming language and has grabbed the highest position with Android OS yet again, though it was a bit down a few years ago. Java can be utilized for mobile-based applications, enterprise-level purpose, for creating desktop applications, and for establishing Android apps on tablets and smartphones.

2. PHP

The web developers should learn about PHP or Hypertext Preprocessor, a well-known programming language. With the help of PHP, you can enlarge a web app very quickly and effortlessly. PHP is the actual foundation of many strong content management systems, for example, WordPress. PHP is really a valuable programming language for the developers and programmers.

3. JavaScript

While you are expanding your site, JavaScript is extremely functional as this language can immensely assist you in generating the communication for your website. You can utilize various in style frameworks in JavaScript for constructing the superb user interface. When you’re into web development, it’s very important to know about JavaScript for making interactive web pages. JavaScript is applied for including animations on the web pages, loading fresh images, scripts or objects on web page, and craft hugely responsive user interfaces.

4. Python

For becoming skilled at all-in-one language, you should begin learning Python language that has the ability to expand web apps, data analysis, user interfaces, and much more, and frameworks are also available for these tasks. Python is utilized by bigger companies mostly that can evaluate vast data sets, thus this is a huge chance to learn it and be a Python programmer.

5. Objective-C

If you are the one who is interested in constructing apps for iOS, then you have to know about Objective-C language efficiently. The most preferred choice for all the web developers is Objective-C. When you have learned Objective-C, you can begin applying XCode that is known to be the authorized software development tool from Apple. This you can quickly produce an iOS app that can be noticeable in App Store.

6. Ruby

Another popular programming language is Ruby and Ruby on Rails. This can be learned easily, and also very strong and clear-cut. If you’ve small time in hand and still want to craft any project, then you can surely utilize Ruby language. This programming language is applied massively for web programming and hence turned out to be the ideal selection for the beginner companies.

7. Perl

Perl is also a well-accepted programming language that offers distinct tools for various obscure setbacks such as system programming. Though this programming language is a bit puzzling, it is really a strong one that you can learn for this year and renew your knowledge. Perl is mainly used for sites and web app expansion, desktop app development and system administration, and test automation that can be applied to testing databases, web apps, networking devices, and much more.

8. C, C++ and C#

You can increase your knowledge by learning about C this year that is a unique programming language. Being the oldest, it should be learned first when you start up, and it is mainly applied in forming different software.

C++ or C plus plus is a bit more progressive than C and utilized immensely in forming hardware speeded games. It is an ideal selection for strong desktop software as well as apps for mobiles and desktop. Known to be the strongest language, C++ is applied in vital operating systems, such as Windows.

After learning these 2, you can go ahead in knowing about C# language. It won’t be difficult for you to get accustomed with C# after knowing C and C++. C# is actually the prime language for Microsoft applications and services. While executing with .Net and ASP technologies, you are required to be familiar with the C# accurately.

9. SQL

When you are executing on databases such as Microsoft SQL Server, Oracle, MySQL, etc, you should be aware of SQL programming language or Standard Query Language. From this language, you can achieve the proficiency of acquiring the needed data from big and multifaceted databases.

10. Swift

Swift is reflected upon as the trendiest program language for expanding apps for Apple products. This language can be utilized by you for building up apps for iOS activated devices and Apple’s MAC in a quick and simple method. When you are keen to expand a superb iOS application, then it is better for you to gain knowledge of Swift programming language.

Hence, the above programming languages are known to be the best ones of 2018. So the developers and programmers should ensure that they’re updated regarding them. Knowing such programming languages will certainly take them to a greater level altogether in their career!

 

Top 5 Courses to Learn Python Programming Language

Python Programming Languagea

Over the past couple of decades or so, the popularity of Python programming has gone up exponentially. The reasons are not difficult to decipher: Python is powerful, versatile, and simple. A word about each of these attributes:

Powerfulness: Since it is object-oriented, it can be coded in any language, and the programmer or coder can leave the worry about about the language being used aside;

Versatility: Python’s versatility enables it to be used in several uses and applications. The fact that all of the world’s most popular social media sites are powered by Python is testimony to this;

Simplicity: Python is created to think like humans. There is no need for complex and detailed commands because of this attribute. It requires only simple syntaxes.

Python Programming Languagew

So, which is the best suited destination for those who want to undergo learning in Python? Simpliv, a learning platform that offers comprehensive, up-to-date, high-quality, valuable and affordable learning on all topics that could interest the human mind, from both the IT and non-IT areas, is a wonderful source to learn Python programming from.

For the value these courses offer, the price of the trainings is unbelievably low: priced at a mere $12; these Python programming courses are taught by a bunch of IT experts who are from the industry and work in the many areas of Python programming day in and day out. Why not take a look at these five best Python programming courses being offered by Simpliv?

  1. Let us start with the fundamental course on Python programming that makes it as easy as one can. This course on Python fundamentals is for those who have NO knowledge of Python! This course will teach participants to:

 

  • Write Python programs of moderate complexity
  • Perform complicated text processing – splitting articles into sentences and words and doing things with them
  • Work with files, including creating Excel spreadsheets and working with zip files
  • Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
  • Understand Object-Oriented Programming in a Python context

 

  1. Another course on Python programming from Simpliv is this one:

 

This Spark for Data Science with Python course helps you get your data to fly using Spark for analytics, machine learning and data science. With this course, you can:

 

  • Use Spark for a variety of analytics and Machine Learning tasks
  • Implement complex algorithms like PageRank or Music Recommendations
  • Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
  • Use all the different features and libraries of Spark: RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX.

 

  1. Machine Learning, NLP & Python come to life with this interactive and fun filled course. it offers you learning with great clarity on Machine Learning, Natural Language Processing with Python, Sentiment Analysis, and Mitigating Overfitting with Ensemble Learning. With this course, the experts, who bring years and years of experience of having worked with reputed organizations such as Google, Flipkart and Microsoft, will help you:

 

  • Identify situations that call for the use of Machine Learning
  • Understand which type of Machine learning problem you are solving and choose the appropriate solution
  • Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python.

 

  1. And then, there is this course on image processing applications on Raspberry Pi. A beginner course on the newly launched Raspberry Pi 3; this is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero. This course will take beginners with zero coding skills to a level where they can write their own programs. It will cover the basics of Python programming language and teach how to build Image Processing applications. Users can also easily and quickly learn hardware assembly and coding in Python programming for building Image Processing applications.

 

  1. Simpliv also brings the affable Mark Lassoff, a senior programmer who has taught over a million students online and in person over the twenty years he has been in this profession, for this course on Python for Beginners. It will cover all that you need to know about the fundamentals of Python programming, such as output, variables, code branching, loops, and lots, lots more!

5 Best Python Online Courses on Simpliv

Learn Python Programming

Learn Python.jpg

A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

What’s Covered:

  • Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
  • Database operations: Just as much database knowledge as you need to do data manipulation in Python
  • Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
  • Text processing and NLP: Python’s powerful tools for text processing – nltk and others.
  • Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
  • Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
  • Hundreds of lines of code with hundreds of lines of comments
  • Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
  • Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
  • Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
  • Drill #4: Scrape newspapers and a blog and apply several machine learning techniques – classification and clustering to these

How We Need to Keep Grow Up

 

Spark for Data Science with Python

Data Science in R

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

Get your data to fly using Spark for analytics, machine learning and data science

Let’s parse that.

  • What’s Spark? If you are an analyst or a data scientist, you’re used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.
  • Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.
  • Machine Learning and Data Science : Spark’s core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We’ll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets.

How We Need to Keep Grow Up

 

Machine Learning, NLP & Python-Cut to the Chase

Machine Learningawf.jpg

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth : it makes everything as simple as possible – but not simpler

The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won’t tell you what the carburetor is.

The course is very visual : most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art – all shown by studies to improve cognition and recall.

 

How We Need to Keep Grow Up

 

Image Processing Applications on Raspberry Pi – From Scratch

Image Processing Applications on Raspberry Pi - From Scratch

Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

This course will take beginners without any coding skills to a level where they can write their own programs.

Basics of Python programming language are well covered in the course.

Building Image Processing applications are taught in the simplest manner which is easy to understand.

Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real time scenario.

The course is taught by an expert team of Electronics and Computer Science engineers, having PhD and Postdoctoral research experience in Image Processing.

Anyone can take this course. No engineering knowledge is expected. Tutor has explained all required engineering concepts in the simplest manner.

The course will enable you to independently build Image Processing applications using Raspberry Pi.

This course is the easiest way to learn and become familiar with the Raspberry Pi platform.

By the end of this course, users will build Image Processing applications which includes scaling and flipping images, varying brightness of images, perform bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, image segmentation. User will also be able to build real-world Image Processing applications which includes real-time human face eyes nose detection, detecting cars in video, real-time object detection, human face recognition and many more.

The course provides complete code for all Image Processing applications which are compatible on Raspberry Pi 3/2/Zero.

 

How We Need to Keep Grow Up

 

Python for Beginners 2017

Machine Learning, NLP & Pythonz.jpg

See why over 350,000 Simpliv members learn coding from Mark Lassoff and LearnToProgram.tv!

Few programming languages provide you with the flexibility and pure power of Python.

If you’re becoming a professional developer, or are early in your development career, adding the Python skill set isn’t just a resume embellishment. It’s an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Python is commonly used for server side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger ecommerce systems. That being said, it’s also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming.

 

How We Need to Keep Grow Up

Learn Python Programming

 

#cyber #onlinesecurityA Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

What’s Covered:

  • Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
  • Database operations: Just as much database knowledge as you need to do data manipulation in Python
  • Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
  • Text processing and NLP: Python’s powerful tools for text processing – nltk and others.
  • Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
  • Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
  • Hundreds of lines of code with hundreds of lines of comments
  • Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
  • Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
  • Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
  • Drill #4: Scrape newspapers and a blog and apply several machine learning techniques – classification and clustering to these

Using discussion forums

Learn Python Programming qw.jpg

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We’re super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

Pythonhsh.jpg

  • Yep! Folks with zero programming experience looking to learn a new skill
  • Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
  • Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you 🙂
Basic knowledge
  • No prior programming experience is needed 🙂
  • The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.
What you will learn
  • Pick up programming even if you have NO programming experience at all
  • Write Python programs of moderate complexity
  • Perform complicated text processing – splitting articles into sentences and words and doing things with them
  • Work with files, including creating Excel spreadsheets and working with zip files
  • Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
  • Understand Object-Oriented Programming in a Python context

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